Ahmad Mohamed Hassany

• Delivered 5+ client projects, analyzing large datasets to produce actionable business insights that informed strategic decisions.
• Built 3+ interactive Power BI and Tableau dashboards tracking KPIs, reducing manual reporting time by ~30%.
• Cleaned and transformed raw data using Excel, SQL, and Python, improving data accuracy and consistency across all
engagements.
• Applied data mining and statistical analysis to uncover trends, directly supporting client revenue optimization strategies.
• Optimized SQL queries and reporting pipelines, improving data retrieval speed by approximately 25%.

• Performed data cleaning and EDA on 10+ datasets using Excel and Python, ensuring accuracy for downstream analysis.
• Built predictive data models and applied statistical analysis, generating insights for data-driven decision-making.
• Created interactive dashboards in Power BI and Tableau to communicate findings clearly to non-technical stakeholders.

• Performed data cleaning and preprocessing using Excel and Python to ensure data accuracy and consistency.
• Conducted exploratory data analysis (EDA) and applied data mining techniques to uncover patterns, trends, and
hidden insights.
• Built basic data models and performed statistical analysis to support predictive insights and data-driven decision
making.
• Created interactive dashboards and visualizations using Power BI / Tableau to communicate findings to
stakeholders.

⚫ Solved complex algorithmic problems using data structures and optimized approaches to improve efficiency
⚫ Participated in regular problem-solving sessions and coding challenges, enhancing analytical and logical
thinking skills.
⚫ Collaborated with a team to discuss multiple solution strategies and improve code performance and
readability.
⚫ Mentored peers through problem-solving workshops, explaining concepts such as algorithms, time
complexity, and optimization techniques.

• Solved 50+ algorithmic challenges, improving team code efficiency and readability through optimized data structures.
• Mentored 15+ peers in weekly workshops covering algorithms, time complexity, and optimization techniques.
• Collaborated cross-functionally to evaluate multiple solution strategies, consistently improving performance benchmarks.